3rd Global Summit and Expo on Multimedia & Artificial Intelligence July 20-21, 2017 Holiday Inn Lisbon – continental, Lisbon, Portugal

Biography:

Heng Ji is Edward P. Hamilton Development Chair Associate Professor in Computer Science Department of Rensselaer Polytechnic Institute. Her research interests focus on Cross-source Information Extraction. She received several major awards including NSF CAREER award, "AI's 10 to Watch" Award by IEEE Intelligent Systems, “Young Scientist” and Future of Computing Council Member by World Economic Forum.

Abstract:

Knowledge extraction and representation have been the common goals for both the text domain and the visual domain. A few significant benchmarking efforts, such as TREC and TRECVID, have also demonstrated important progress in information extraction from data of different modalities. However, none of the media modality research is complete and fully reliable. Systems using text Knowledge Base Population (KBP) tools cover important high-level events, entities, and relations, but they often do not provide the complete details depicting the physical scenes, objects, or activities. Visual recognition systems, despite the recent progress, still suffer from inadequate abilities in extracting high-level semantics comparable to the counterparts from the text part. In this talk, we will present our recent efforts at developing a Scalable, Portable, and Adaptive Multi-media Knowledge Construction Framework which can exploit cross-media knowledge, resource transfer and bootstrapping to dramatically scale up cross-media knowledge extraction processes.  We have developed novel cross-media methods (including a cross-media deep learning model and “Liberal” KBP) to automatically construct multimodal semantic schema for event, improve extraction through inference and conditional detection, and enrich knowledge through cross-media cross-lingual event co-reference and linking.

Biography:

Anton Nijholt received his PhD in computer science from the Vrije Universiteit in Amsterdam. He held positions at various universities, both inside and outside the Netherlands. In 1989 he was appointed full professor at the University of Twente in the Netherlands. His main research interests are human-computer interaction with a focus on playful interfaces, entertainment computing, and humor generation. He edited various books, most recently on playful interfaces, entertainment computing and playable cities. Nijholt acted as program chair and general chair of many large international conferences on affective computing, entertainment computing, virtual agents, and multimodal interaction. He is chief editor of the section Human-Media Interaction of the journals Frontiers in Psychology, Frontiers in Digital Humanities, and Frontiers in ICT. He is co-editor of the Springer Book Series Gaming Media and Social Effects. Since 2015 he is also Global Research Fellow at the Imagineering Institute in Malaysia.

Abstract:

In research on smart cities the emphasis is on the use of sensors that collect information about a city’s inhabitants’ use of resources, their (real-time) behavior, and, using actuators, provide feedback to its citizens or a city’s management, and make changes to the environment that allow for more efficient use of a city’s resources . Management, efficiency and sustainability are keywords. Smartness in smart cities addresses ways to control energy consumption, increase safety, manage real-time traffic and public events, and manage other ways to make cities more efficient.

There is more to city life than efficiency. Sensors and actuators that make a city smart can be used to introduce smart playful and humorous situations, urban games, and other games that are meant to provide playful experiences or playful participation and contribution to urban design and development. Rather than have sensors and actuators to be introduced for making city life and management more efficient, they can as well be introduced to make city life more playful, increasing playfulness and introducing playful experiences during a citizen’s daily activities. We can talk about playful cities and when citizens are given the opportunity to introduce and configure sensor and actuator networks themselves we can also talk about playable cities.

Playable cities allow inhabitants to introduce their own playful applications. They need access to sensors, actuators and microprocessors. Introducing playfulness and humor in smart environments requires knowledge about humor theories. We discuss the theories and make a transition from the usual verbal humor theories to design principles that allow and stimulate the creation of humor in smart environments. We discuss accidental and intentional occurrences of humor and embed them in a framework of humor creation in smart and digitally enhanced physical environments.

Biography:

I am currently a Senior Lecturer in Computer and Information Science at the Univ. of Northumbria, Newcastle. I received a BSc in Electronics from Huazhong Univ. of Science & Tech. in China and a PhD in Computer Science from Queen’s Univ. Belfast, where its computer science was brought up by Turing laureate Sir Tony Hoare since 1960s. After my PhD study, I joined Brunel Univ. in July 2007 as a RA on an EU-FP6 project (RUSHES) on video indexing. Following this I worked as a RA at Loughborough Univ. (TSB project CrimeVis, 03/2009~09/2010), then at Swansea Univ. (EPSRC project on Sports Visualization, 10/2010~09/2011), Univ. of Bath (TSB project on Video Codec, 10/2011~09/2012) and Univ. of Sheffield (EPSRC project BIMPA, 10/2012~04/2013). I joined Univ. of Northumbria as a Lecturer in May 2013.Currently in Northumbria Univ., I am leading a research team of 5 PhDs ( as 1st Supervisor) and 1 Postdoc on Biometrics, Smart Cities, Medical Diagnosis, and Financial Computing in Dept. Computer and Information Science. I authored or co-authored 21 refereed journal papers and 24 conference papers/books/book chapters. I am a Fellow of Higher Education Academy. I served as the publication co-chair of EUVIP 2016 and the leading editor of a Springer book on biometric big data in 2016.

Abstract:

Biometrics in modern computer science is defined as the automated use of biological properties to identify individuals. The early use of biometrics can be dated back to nearly 4000 years ago when the Babylon Empire legislated the use of fingerprints to protect a legal contract against forgery and falsification by having the fingerprints impressed into the clay tablet on which the contract had been written. Nowadays, the wide use of the Internet and mobile devices has brought out the booming of the biometric applications, and research on biometrics has been drastically expanded into many new domains.

With the booming of internet and mobile applications, rapid increase of biometric data from billions of users on internet/mobile has been facing the challenge of big data issue, especially when many new applications are linked to city-scale domains in smart cities. These new applications have created a huge market of billion dollars for biometric technologies and the industry needs comes back to push the research further and vigorously. In this talk we will address the challenges and opportunities in the era of big data within the background of smart cities.

Biography:

Abstract:

We are also accepting proposals for Symposia and Workshops on all tracks.

All proposals must be submitted to multimedia@conferenceseries.net